10:00Introduction

10:15Make ML Great Again!

10:30My path from Data Science newbie to Kaggle Master

Eugene Babakhin, Data Scientist at Wargaming.net

Overview of what Kaggle is, its pros and cons for the real life. Summary of competitions process and pipeline to handle them (with example for Kaggle competition: "Two Sigma Connect: Rental Listing Inquiries")

12:15Free mic session

The aim of this brief session is to expand your data science connections. It is an
excellent opportunity for everybody to present themselves to the audience and say a
couple of words on their projects and interests related to data science. The
presentation format is a two-minute talk and a one-minute question-answer part.

15:45ARIMA vs long term forecasts

Anton Lebedevich, independent contractor

Every textbook that has a time series chapter mentions ARIMA so it became a goto model
for forecasting.
But in real world it struggles with missing data, public holidays, non-stationarity,
several steps ahead predictions.
Anton will show better alternatives to ARIMA for long term forecasting.

16:30Explain me like I'm 5

Mike Korobov, Software Engineer at ScrapingHub

ELI5 is a Python library which allows to visualize and debug various Machine Learning
models.
It has built-in support for several ML frameworks and provides a way to explain
black-box models.
Mike is ELI5 core developer who will tell us more how this magic works.

17:30From Jupyter notebook to production environment

18:15Sentiment analysis: best practices and challenges

Vitalii Radchenko, Data Scientist at Ciklum

Sentiment analysis is a very interesting task where there are many techniques which work
well.
We will cover data preprocessing, traditional ML, word- and char-based neural networks.
Moreover, you will find out different tricks how to deal with small datasets, dataset
absence and transfer learning.

FAQ

You bet! If there are too many registrations, we will have to select N (best or random) candidates
based on their questionnaires to be sure that participation will bring you maximum benefits.

Are there any registration fees?

DataFest is free for all participants. There are no registration charges. But you have to register.

What if I got a refusal?

Unfortunately, you will not be able to attend the event onsite. Still, don't be upset — we will have
all our presentations broadcasted! Moreover, feel free to join in live discussion via the Open Data Science Slack channels

When will I receive an event invitation?

It will take some time for organizers to review all applications, but the process can be long, so
please be patient. The first half of the invitations will be sent two weeks before the event and the
rest approximately one week before the event start date.

Will the conference materials be available later?

Yes! The presentation videos and slides will be fully available in 3-4 weeks.

So, you said all your speeches will be broadcasted?

Yes, we plan to broadcast the speeches. A live webcast link will be
available on our site.

If there are not enough seats, what will be the application
selection process?

The main criteria we rely on are your experience in data science, as well as your motivation to
attend the event.